Instrument Builders

Information Specialists

(ESIP)Scientists

Curriculum Developers Teachers

Decision Analysts

Decision Makers

Reports

From Kim Kastens

Value Chain for Decision Support Systems

Same as for Education

Divide Characterization/Tailoring

DSS-Specific

Processes supported by

Support by AQ Cluster

Ideas on Architecture and Technologies for Agile AQ Analysis

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. Processing

Std

. In

terf

ace

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Analyzing

Filter/IntegrateAggregate/FuseCustom Analysis

Organizing

DocumentStructure/FormatBuild Interface

Characterizing

Display/BrowseCompare/Fuse Characterize

Valu

e-A

dd

ing

P

rocesses

Reporting

Inclusiveness Iterative/Agile Dynamic Report

Loosely Coupled Data Access through Standard ProtocolsOGC Web Coverage Service (WCS)

Client request Capabilities

Server returns Capabilities and data ‘Profile’

Client requests data by ‘where, when, what’ query

Server returns data ‘cube’ in requested format

GetCapabilities

GetData

Capabilities, ‘Profile’

Data

Where? When? What? Which Format?

Server

Back End S

td.

Inte

rface

Client

Front EndS

td.

Inte

rface

Query GetData Standards

Where? BBOX OGC, ISO

When? Time OGC, ISO

What? Temperature CF

Format netCDF, HDF.. CF, EOS, OGC

T2T1

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. ProcessingS

td.

Inte

rface

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Web Services and Workflow for Loose Coupling

Service Broker

Service Provider

PublishFind

BindServiceUser

Web Service Interaction Service Chaining & Workflow

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. ProcessingS

td.

Inte

rface

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Collaborative Reporting and Dynamic Delivery

Co Writing - Wiki

ScreenCast

Analysis Reports:

Information supplied by manyNeeds continuous program feedbackReport needs many authorsWiki technologies are for collaborative writing

Dynamic Delivery:

Much of the content is dynamicAnimated presentations are compellingMovies and screencasts are for dynamic delivery

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. ProcessingS

td.

Inte

rface

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Loosely Coupled Data Access through Standard ProtocolsOGC Web Coverage Service (WCS)

Client request Capabilities

Server returns Capabilities and data ‘Profile’

Client requests data by ‘where, when, what’ query

Server returns data ‘cube’ in requested format

GetCapabilities

GetData

Capabilities, ‘Profile’

Data

Where? When? What? Which Format?

Server

Back End S

td.

Inte

rface

Client

Front EndS

td.

Inte

rface

Query GetData Standards

Where? BBOX OGC, ISO

When? Time OGC, ISO

What? Temperature CF

Format netCDF, HDF.. CF, EOS, OGC

T2T1

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. ProcessingS

td.

Inte

rface

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

The Terry Keating ChallengesPerspective: Hemispheric Air Pollutant Transport

Facilitate data-model comparison, assimilation

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. ProcessingS

td.

Inte

rface

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Include global perspective (observation, model, analysis)

The Scheffe Challenge: Organizations - Programs – Data Mess

Public

Analyzing

Interpreting Evaluating Separating Synthesizing

Organizing

Quality controlFormattingDocumentingDisplaying

Deciding

Evaluate optionsMatching goals CompromisingChoosing

Data Manager, Organizer

Technical Analysts, Program Manager

Policy Analysts, Decision Maker

Valu

e A

dd

ing

P

rocesses

Human Agents

Decision Support System (DSS)

The primary purpose of data systems is to mediate between data providers and programs/projects

Programs perform analysis for Orgs., the DSS is within programs

The big decisions of societal importance are done by Organizations

(This needs more wisdom from the practioners)

The Scheffe Challenge: Organizations - Programs – Data: Mess’

Public

Human Information SystemMachine Information System

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. Processing

Std

. In

terf

ace

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

The L. Friedl, K. Fontaine Challenge GEOSS Architecture Mapped to Air Quality

Not part of DataFed

Policy, Management, Personal Decisions

Special Architectural Features:

Implied data assimilation into models

Decision Support black box

Focus on model predictions, not ‘simulation’

Pollutant ‘Characterization’ is implicit

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. ProcessingS

td.

Inte

rface

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Flow of Data and Usage Control

Flow of Control

Reports are commissioned by programs

Analysts select, explore, and process data for a report

Data providers have generally little control over the end use

Flow of Data

Providers expose data to analysts who extract the needed subset

The data is pulled into data exploration or processing software

Some programs control their own data collection, others do not

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. Processing

Std

. In

terf

ace

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

• Data producers maintain their own workspace and resources (data, reports, comments). • Part of the resources are shared by creating a common virtual resources.• Web-based integration of the resources can be across several dimensions:

Spatial scale: Local – global data sharing Data content: Combination of data generated internally and externally

• Users can benefit from the pooled federated resources• The benefits of federation outweigh the costs.

Content

Content

User

User

User

LocalLocal

GlobalGlobal

Virtual Shared Resources

Data, KnowledgeTools, Methods

User

User

Shared part of resources

Participation: Networking

Replace cube with standard interface

For reusable data flow indicate homogenization for reusability (wrappers)

Flow of Data and Usage Control

Flow of Control

Reports are commissioned by programs

Analysts select, explore, and process data for a report

Data providers have generally little control over the end use

Flow of Data

Providers expose data to analysts who extract the needed subset

The data is pulled into data exploration or processing software

Some programs control their own data collection, others do not

Domain ProcessingData Sharing

Std

. In

terf

ace

Gen. Processing

Std

. In

terf

ace

Data

Control

Reports

Reporting

Obs. & Models Decision Support System

Denver Master Outline

• Air Quality Challenges– Real-time, Science – Integration over Spatial (parameter – Agile Management

• AQ Info System– Architecture– Engineering– Technologies

• Application Use Cases– Policy– Management– Public